# A tibble: 1,384,617 x 15
   order_id product_id add_to_cart_order reordered user_id eval_set order_number
      <int>      <int>             <int>     <int>   <int> <chr>           <int>
 1        1      49302                 1         1  112108 train               4
 2        1      11109                 2         1  112108 train               4
 3        1      10246                 3         0  112108 train               4
 4        1      49683                 4         0  112108 train               4
 5        1      43633                 5         1  112108 train               4
 6        1      13176                 6         0  112108 train               4
 7        1      47209                 7         0  112108 train               4
 8        1      22035                 8         1  112108 train               4
 9       36      39612                 1         0   79431 train              23
10       36      19660                 2         1   79431 train              23
# ... with 1,384,607 more rows, and 8 more variables: order_dow <int>,
#   order_hour_of_day <int>, days_since_prior_order <int>, product_name <chr>,
#   aisle_id <int>, department_id <int>, aisle <chr>, department <chr>